Engineered Education

Our mission is to offer high quality classes to engineers and founders.

We give you the tools to take your skills to the next level.

 

Our first event -- A technical introduction to

AI, Deep Learning, and Machine Learning

“Artificial Intelligence, deep learning, machine learning — whatever you’re doing if you don’t understand it — learn it. Because otherwise you’re going to be a dinosaur within 3 years.” - Mark Cuban


Explore Deep Learning

 

Deep learning Part 2 Vision Algorithms

Deep Learning is the biggest change happening in computer science right now.  It powers everything from Google’s Alpha Go to Tesla’s autopilot to Amazon’s Echo.  Every company is trying to figure what it’s AI strategy is going to be.  Deep learning makes all kinds of new applications possible but presents a whole new set of challenges like exotic hardware and non-determinism.  That’s why companies can’t hire experts fast enough.  We strongly believe you don’t need a degree from Stanford or MIT to build your own algorithms and use this amazing technology.

While there are plenty of online resources, we know it's tough to learn a technical topic without a teacher. We're bringing together expert engineers in the field of machine learning, deep learning & AI who will help you learn the basics in a hands-on approach to learning deep learning.

This is a hands-on course to take students from little knowledge of deep learning to comfort building real world models.  It requires very little math, but reasonably proficient programming skills.  It’s designed as a follow up to Introduction to AI, Machine learning & Deep Learning, but might also be appropriate for someone who took the coursera course in machine learning and wanted something very hands on.

 

What people are saying...

"I found it to be really engaging and interesting. I was already familiar with some ML concepts, so it helped me understand them better and think about how to apply them. The code samples are really great and will definitely reference them in the future. I thought the class went at a generally good pace."

 

“What an outstanding workshop yesterday. Thank you for your time and enthusiasm. As a newcomer to the field, I was fascinated by the way you seamlessly presented such a challenging topic to a widespread audience. Even more, you quickly built a great sense of community and positive energy in the room, which made all the difference. Your advice on the job market and nuances about the field were much appreciated.”

 

"Good experience - full of great resources and discussion. Good, practical intro for new folks, and also valuable for those familiar with the basics. I walked away excited to experiment!" 

 

“Class was great, you ticked off my curiosity. I am excited to review the content and retry it by myself. Thank you for encouraging peer to peer collaboration and making the effort to build the slack channel. I think it was nice to see you debug live.”

 

“Class was really good! Thank you very much. 🙂 It was great to have all the code in github and in multiple files, each showing a new step covered, so we could follow along.”

 

“A very accessible approach to teaching complex topics.”